DFlash2 speeds Qwen 3.8 27B up to 4 times

llama.cpp pr #27342 adds dflash2, so i rented an rtx 6000 and ran the same four prompts through four decoding setups on qwen3.8 27B

median results over the four tasks:

• baseline 47.4 tok/s
• mtp 114.7 tok/s
• dflash 99.3 tok/s
• dflash2 140.6. tok/s

so on average 3x for dflash2

though i have to point out that it's far from a 3x gain some of the time, on one of the test it struggled to achieve a 1.5x gain, it really just depends on the task you give to the model

the races are sped up in some places, so that the video lasts roughly 30 seconds, but the tok/s and acceptance % on screen are the real

i'm from the atomic.chat team - we publish our own quants on hf and make a desktop and mobile app for running local models. so any feedback welcome - we're building this for you folks

about dflash2: https://inco.ai/blog/dflash2/